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ORCIDDavid Muñoz de la Peña
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2020 – today
- 2025
[i3]Filiberto Fele, José María Maestre, Seied Mehdy Hashemy Shahdany, David Muñoz de la Peña, Eduardo F. Camacho:
Coalitional model predictive control of an irrigation canal. CoRR abs/2501.17561 (2025)- 2024
- [j35]Jaime Palomo
, David Muñoz de la Peña, Teodoro Alamo:
Dissimilarity Function Based Classification. IEEE Control. Syst. Lett. 8: 1487-1492 (2024) - [j34]Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang:
Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways. IEEE Trans. Control. Syst. Technol. 32(4): 1471-1478 (2024) - [j33]Juan Moreno Nadales, David Muñoz de la Peña, Daniel Limón, Teodoro Alamo:
Dynamic Rescheduling for Optimal Transportation Incident Management in Inland Waterways. IEEE Trans. Intell. Transp. Syst. 25(10): 14642-14653 (2024) - 2023
- [j32]Juan Moreno Nadales, David Muñoz de la Peña, Daniel Limón, Teodoro Alamo:
Safe Optimal Vessel Planning on Natural Inland Waterways. IEEE Trans. Intell. Transp. Syst. 24(9): 9378-9389 (2023) - [c53]Juan Moreno Nadales, David Muñoz de la Peña, Daniel Limón, Teodoro Alamo:
Safe navigation through waterways of time-varying depth based on reachability analysis. ECC 2023: 1-6 - [i2]Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang:
Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways. CoRR abs/2310.14038 (2023) - 2022
- [c52]Ignacio Alvarado, Richard M. Haes-Ellis, Jose A. Borja, Francisco Salas, David Muñoz de la Peña:
Learn Control Building Your Own Line Follower Robot at Home. ECC 2022: 1-6 - [c51]Juan Moreno Nadales, David Muñoz de la Peña, Daniel Limón, Teodoro Alamo:
Tube Based Safe Planning on Natural Inland Waterways. ECC 2022: 2012-2017 - 2021
- [j31]José María Manzano, David Muñoz de la Peña, Daniel Limón:
Oracle-based economic predictive control. Comput. Chem. Eng. 153: 107434 (2021) - [j30]José María Manzano, David Muñoz de la Peña, Jan-Peter Calliess, Daniel Limón:
Componentwise Hölder Inference for Robust Learning-Based MPC. IEEE Trans. Autom. Control. 66(11): 5577-5583 (2021) - [i1]José María Manzano, David Muñoz de la Peña, Daniel Limón:
Oracle-based economic predictive control. CoRR abs/2104.09490 (2021) - 2020
- [j29]José María Manzano, Daniel Limón, David Muñoz de la Peña, Jan-Peter Calliess:
Robust learning-based MPC for nonlinear constrained systems. Autom. 117: 108948 (2020)
2010 – 2019
- 2019
- [c50]José María Manzano, Juan Moreno Nadales, David Muñoz de la Peña, Daniel Limón:
Oracle-Based Economic Predictive Control. CDC 2019: 4246-4251 - [c49]José María Manzano, Daniel Limón, David Muñoz de la Peña, Jan-P. Calliess:
Data-based Robust MPC with Componentwise Hölder Kinky Inference. CDC 2019: 6449-6454 - [c48]Jose R. Salvador, Enrico Terzi, Marcello Farina, Daniel R. Ramírez, Lorenzo Fagiano, David Muñoz de la Peña, Riccardo Scattolini:
Learning-based predictive control for MIMO systems. CDC 2019: 7671-7676 - [c47]Jose R. Salvador, Daniel R. Ramírez, Teodoro Alamo, David Muñoz de la Peña, G. García-Marín:
Data Driven Control: An Offset Free Approach. ECC 2019: 23-28 - 2018
- [c46]Ye Wang, David Muñoz de la Peña, Vicenç Puig, Gabriela Cembraño:
A Novel Formulation of Economic Model Predictive Control for Periodic Operations. ECC 2018: 1015-1020 - [c45]Jose R. Salvador, David Muñoz de la Peña, Daniel R. Ramírez, Teodoro Alamo:
Historian Data Based Predictive Control of a Water Distribution Network. ECC 2018: 1716-1721 - 2017
- [j28]Mario Pereira, David Muñoz de la Peña, Daniel Limón, Ignacio Alvarado, Teodoro Alamo:
Robust Model Predictive Controller for Tracking Changing Periodic Signals. IEEE Trans. Autom. Control. 62(10): 5343-5350 (2017) - 2016
- [j27]Daniel Limón, David Muñoz de la Peña, Colin N. Jones:
Special section on Nonlinear Model Predictive Control. Annu. Rev. Control. 41: 183 (2016) - [j26]Gonzalo Farias, David Muñoz de la Peña, Fabio Gómez-Estern, Luis de la Torre, Carlos Sánchez Cazorla, Sebastián Dormido:
Adding automatic evaluation to interactive virtual labs. Interact. Learn. Environ. 24(7): 1456-1476 (2016) - [j25]Marcelo Lopes de Lima, Daniel Limón, David Muñoz de la Peña, Eduardo Camponogara:
Distributed Satisficing MPC With Guarantee of Stability. IEEE Trans. Autom. Control. 61(2): 532-537 (2016) - [j24]Daniel Limón, Mario Pereira, David Muñoz de la Peña, Teodoro Alamo, Colin N. Jones, Melanie Nicole Zeilinger:
MPC for Tracking Periodic References. IEEE Trans. Autom. Control. 61(4): 1123-1128 (2016) - [c44]Mario Pereira, David Muñoz de la Peña, Daniel Limón:
Robust economic model predictive control of a community micro-grid. CDC 2016: 2739-2744 - [c43]Mario Pereira, David Muñoz de la Peña, Daniel Limón, Ignacio Alvarado, Teodoro Alamo:
Application to a large-scale drinking water network of robust MPC for tracking periodic references. ECC 2016: 1776-1781 - [c42]Mario Pereira, David Muñoz de la Peña, Daniel Limón, Ignacio Alvarado, Teodoro Alamo:
Robust model predictive controller for tracking periodic signals. ECC 2016: 2300-2305 - 2015
- [j23]Marcelo Lopes de Lima, Eduardo Camponogara, Daniel Limón Marruedo, David Muñoz de la Peña:
Distributed Satisficing MPC. IEEE Trans. Control. Syst. Technol. 23(1): 305-312 (2015) - [j22]Mario Pereira, Daniel Limón, David Muñoz de la Peña, Luis Valverde, Teodoro Alamo:
Periodic Economic Control of a Nonisolated Microgrid. IEEE Trans. Ind. Electron. 62(8): 5247-5255 (2015) - [c41]Mario Pereira, Daniel Limón, David Muñoz de la Peña, Teodoro Alamo:
MPC implementation in a PLC based on Nesterov's fast gradient method. MED 2015: 371-376 - 2014
- [j21]Kritchai Witheephanich, Juan M. Escano, David Muñoz de la Peña, Martin J. Hayes:
A Min-Max Model Predictive Control Approach to Robust Power Management in Ambulatory Wireless Sensor Networks. IEEE Syst. J. 8(4): 1060-1073 (2014) - 2013
- [j20]Panagiotis D. Christofides, Riccardo Scattolini, David Muñoz de la Peña, Jinfeng Liu:
Distributed model predictive control: A tutorial review and future research directions. Comput. Chem. Eng. 51: 21-41 (2013) - [c40]Adolfo J. Sánchez del Pozo, Juan M. Escano, David Muñoz de la Peña, Fabio Gómez-Estern:
3D Simulator of Industrial Systems for Control Education with Automated Assessment. ACE 2013: 321-326 - 2012
- [j19]David Muñoz de la Peña, Fabio Gómez-Estern, Sebastián Dormido:
A new Internet tool for automatic evaluation in Control Systems and Programming. Comput. Educ. 59(2): 535-550 (2012) - [j18]Jinfeng Liu, Xianzhong Chen, David Muñoz de la Peña, Panagiotis D. Christofides:
Iterative Distributed Model Predictive Control of Nonlinear Systems: Handling Asynchronous, Delayed Measurements. IEEE Trans. Autom. Control. 57(2): 528-534 (2012) - [c39]Carlos Sánchez Cazorla, Fabio Gómez-Estern, David Muñoz de la Peña:
A Virtual Lab with Automatic Assessment for Nonlinear Controller Design Exercises. ACE 2012: 172-176 - [c38]Gonzalo Farias, Fabio Gómez-Estern, Luis de la Torre, David Muñoz de la Peña, Carlos Sánchez Cazorla, Sebastián Dormido:
Enhancing Virtual and Remote Labs to Perform Automatic Evaluation. ACE 2012: 276-281 - 2011
- [c37]Mohsen Heidarinejad, Jinfeng Liu, David Muñoz de la Peña, James F. Davis, Panagiotis D. Christofides:
Multirate distributed model predictive control of nonlinear systems. ACC 2011: 5181-5188 - [c36]Xianzhong Chen, Mohsen Heidarinejad, Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides:
Model predictive control of nonlinear singularly perturbed systems: Application to a reactor-separator process network. CDC/ECC 2011: 8125-8132 - [c35]Jose Maria Maestre, David Muñoz de la Peña, Eduardo F. Camacho:
Wireless sensor network analysis through a coalitional game: Application to a distributed Kalman filter. ICNSC 2011: 1-6 - 2010
- [j17]Eduardo F. Camacho, Daniel R. Ramírez, Daniel Limón, David Muñoz de la Peña, Teodoro Alamo:
Model predictive control techniques for hybrid systems. Annu. Rev. Control. 34(1): 21-31 (2010) - [j16]Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides:
Distributed model predictive control of nonlinear systems subject to asynchronous and delayed measurements. Autom. 46(1): 52-61 (2010) - [j15]Jinfeng Liu, David Muñoz de la Peña, Benjamin James Ohran, Panagiotis D. Christofides, James F. Davis:
A two-tier control architecture for nonlinear process systems with continuous/asynchronous feedback. Int. J. Control 83(2): 257-272 (2010) - [c34]David Chilin, Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides, James F. Davis:
Monitoring and handling of actuator faults in a distributed model predictive control system. ACC 2010: 2847-2854 - [c33]Jinfeng Liu, Xianzhong Chen, David Muñoz de la Peña, Panagiotis D. Christofides:
Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part I: Theory. ACC 2010: 3148-3155 - [c32]Jinfeng Liu, Xianzhong Chen, David Muñoz de la Peña, Panagiotis D. Christofides:
Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part II: Application to a catalytic alkylation of benzene process. ACC 2010: 3156-3161 - [c31]Jinfeng Liu, Xianzhong Chen, David Muñoz de la Peña, Panagiotis D. Christofides:
Iterative distributed model predictive control of nonlinear systems: Handling delayed measurements. CDC 2010: 7251-7258 - [c30]Eduardo F. Camacho, Teodoro Alamo, David Muñoz de la Peña:
Fault-tolerant model predictive control. ETFA 2010: 1-8
2000 – 2009
- 2009
- [j14]Alberto Bemporad, David Muñoz de la Peña:
Multiobjective model predictive control. Autom. 45(12): 2823-2830 (2009) - [c29]Eduardo F. Camacho, Daniel R. Ramírez, Daniel Limón, David Muñoz de la Peña, Teodoro Alamo:
Model Predictive Control techniques for Hybrid Systems. ADHS 2009: 1-13 - [c28]Jinfeng Liu, David Muñoz de la Peña, Benjamin James Ohran, Panagiotis D. Christofides, James F. Davis:
A two-tier control architecture for nonlinear process systems with continuous/asynchronous feedback. ACC 2009: 133-140 - [c27]Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides:
Distributed model predictive control of nonlinear systems with input constraints. ACC 2009: 2319-2326 - [c26]Jose Maria Maestre, David Muñoz de la Peña, Eduardo F. Camacho:
A distributed MPC scheme with low communication requirements. ACC 2009: 2797-2802 - [c25]Charles McFall, David Muñoz de la Peña, Benjamin James Ohran, Panagiotis D. Christofides, James F. Davis:
Fault detection and isolation of a polyethylene reactor using asynchronous measurements. ACC 2009: 4302-4309 - [c24]Benjamin James Ohran, Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides, James F. Davis:
Networked monitoring and fault-tolerant control of nonlinear process systems. CDC 2009: 4117-4124 - [c23]Jose Maria Maestre, David Muñoz de la Peña, Eduardo F. Camacho:
Distributed MPC based on a cooperative game. CDC 2009: 5390-5395 - [c22]Jose Maria Maestre, David Muñoz de la Peña, Eduardo F. Camacho:
Distributed MPC: a supply chain case study. CDC 2009: 7099-7104 - [c21]Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides:
Distributed model predictive control of nonlinear systems subject to delayed measurements. CDC 2009: 7105-7112 - [c20]Alberto Bemporad, David Muñoz de la Peña:
Multiobjective model predictive control based on convex piecewise affine costs. ECC 2009: 2402-2407 - [c19]Daniele Bernardini, David Muñoz de la Peña, Alberto Bemporad, Emilio Frazzoli:
Simultaneous Optimal Control and Discrete Stochastic Sensor Selection. HSCC 2009: 61-75 - 2008
- [j13]Mircea Lazar, David Muñoz de la Peña, W. P. M. H. Heemels, Teodoro Alamo:
On input-to-state stability of min-max nonlinear model predictive control. Syst. Control. Lett. 57(1): 39-48 (2008) - [j12]Teodoro Alamo, David Muñoz de la Peña, Eduardo F. Camacho:
Min-Max MPC based on a network problem. Syst. Control. Lett. 57(2): 184-192 (2008) - [j11]David Muñoz de la Peña, Panagiotis D. Christofides:
Stability of nonlinear asynchronous systems. Syst. Control. Lett. 57(6): 465-473 (2008) - [j10]David Muñoz de la Peña, Panagiotis D. Christofides:
Output feedback control of nonlinear systems subject to sensor data losses. Syst. Control. Lett. 57(8): 631-642 (2008) - [j9]David Muñoz de la Peña, Panagiotis D. Christofides:
Lyapunov-Based Model Predictive Control of Nonlinear Systems Subject to Data Losses. IEEE Trans. Autom. Control. 53(9): 2076-2089 (2008) - [j8]Teodoro Alamo, David Muñoz de la Peña, Eduardo F. Camacho:
An Efficient Maximization Algorithm With Implications in Min-Max Predictive Control. IEEE Trans. Autom. Control. 53(9): 2192-2197 (2008) - [c18]Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides, James F. Davis:
Lyapunov-based model predictive control of particulate processes subject to asynchronous measurements. ACC 2008: 2233-2240 - [c17]Benjamin James Ohran, David Muñoz de la Peña, Panagiotis D. Christofides, James F. Davis:
Enhancing data-based fault isolation through nonlinear control: Application to a polyethylene reactor. ACC 2008: 3299-3306 - [c16]Jinfeng Liu, David Muñoz de la Peña, Panagiotis D. Christofides, James F. Davis:
Lyapunov-based model predictive control of nonlinear systems subject to time-varying measurement delays. CDC 2008: 4632-4639 - 2007
- [j7]Teodoro Alamo, Daniel R. Ramírez, David Muñoz de la Peña, Eduardo F. Camacho:
Min-max MPC using a tractable QP problem. Autom. 43(4): 693-700 (2007) - [j6]Jeremy G. VanAntwerp, Richard D. Braatz, Teodoro Alamo, David Muñoz de la Peña, Ignacio Alvarado, Daniel Limón:
Discussion on: "GPC Robust Design Using Linear and/or Bilinear Matrix Inequalities". Eur. J. Control 13(5): 468-472 (2007) - [c15]David Muñoz de la Peña, Panagiotis D. Christofides:
Output Feedback Control of Nonlinear Systems Subject to Sensor Data Losses. ACC 2007: 1729-1734 - [c14]David Muñoz de la Peña, Panagiotis D. Christofides:
Lyapunov-based Model Predictive Control of Nonlinear Systems Subject to Data Losses. ACC 2007: 1735-1740 - [c13]Mircea Lazar, David Muñoz de la Peña, W. P. M. H. Heemels, Teodoro Alamo:
New Methods for Computing the Terminal Cost for Min-max Model Predictive Control. ACC 2007: 4476-4481 - [c12]David Muñoz de la Peña, Panagiotis D. Christofides:
Model-based control of nonlinear systems subject to sensor data losses: A chemical process case study. CDC 2007: 3333-3338 - [c11]David Muñoz de la Peña, Panagiotis D. Christofides:
Stability of nonlinear asynchronous systems. CDC 2007: 4576-4583 - 2006
- [j5]Alberto Bemporad, David Muñoz de la Peña, P. Piazzesi:
Optimal control of investments for quality of supply improvement in electrical energy distribution networks. Autom. 42(8): 1331-1336 (2006) - [j4]David Muñoz de la Peña, Daniel R. Ramírez, Eduardo F. Camacho, Teodoro Alamo:
Explicit solution of min-max MPC with additive uncertainties and quadratic criterion. Syst. Control. Lett. 55(4): 266-274 (2006) - [j3]David Muñoz de la Peña, Alberto Bemporad, Carlo Filippi:
Robust explicit MPC based on approximate multiparametric convex programming. IEEE Trans. Autom. Control. 51(8): 1399-1403 (2006) - [j2]David Muñoz de la Peña, Teodoro Alamo, Alberto Bemporad, Eduardo F. Camacho:
A Decomposition Algorithm for Feedback Min-Max Model Predictive Control. IEEE Trans. Autom. Control. 51(10): 1688-1692 (2006) - [c10]David Muñoz de la Peña, Teodoro Alamo, Alberto Bemporad, Eduardo F. Camacho:
Feedback min-max model predictive control based on a quadratic cost function. ACC 2006: 1-6 - 2005
- [j1]Teodoro Alamo, David Muñoz de la Peña, Daniel Limón, Eduardo F. Camacho:
Constrained min-max predictive control: modifications of the objective function leading to polynomial complexity. IEEE Trans. Autom. Control. 50(5): 710-714 (2005) - [c9]David Muñoz de la Peña, Alberto Bemporad, Teodoro Alamo:
Stochastic Programming Applied to Model Predictive Control. CDC/ECC 2005: 1361-1366 - [c8]David Muñoz de la Peña, Teodoro Alamo, Alberto Bemporad:
A Decomposition Algorithm for Feedback Min-Max Model Predictive Control. CDC/ECC 2005: 5126-5131 - [c7]Teodoro Alamo, Daniel R. Ramírez, David Muñoz de la Peña:
Min-Max MPC using a tractable QP Problem. CDC/ECC 2005: 6210-6215 - 2004
- [c6]David Muñoz de la Peña, Teodoro Alamo, Alberto Bemporad, Eduardo F. Camacho:
A dynamic programming approach for determining the explicit solution of linear MPC controllers. CDC 2004: 2479-2484 - [c5]David Muñoz de la Peña, Alberto Bemporad, Carlo Filippi:
Robust explicit MPC based on approximate multi-parametric convex programming. CDC 2004: 2491-2496 - 2003
- [c4]Teodoro Alamo, David Muñoz de la Peña, Daniel Limón, Eduardo Fernández Camacho:
Constrained min-max predictive control: a polynomial-time approach. CDC 2003: 912-916 - [c3]Teodoro Alamo, David Muñoz de la Peña, Eduardo F. Camacho:
Min max MPC based on a graph problem. CDC 2003: 917-922 - [c2]Teodoro Alamo, David Muñoz de la Peña, Eduardo F. Camacho:
An off line algorithm for reducing the computational burden of a MPC min max controller. CDC 2003: 1433-1437 - [c1]Teodoro Alamo, David Muñoz de la Peña, Eduardo F. Camacho:
An efficient maximization algorithm with implications in min-max predictive control. ECC 2003: 1447-1452
Coauthor Index
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